The Step towards Future Targeted Spruce Pedagogy Through AI Based Models

Artificial intelligence (AI) in higher education has been debated and is a curious issue for critics. The advocates of the technology point to how revolutionary it is for education, while its opponents wonder what it could mean for the traditional ideal methods of teaching. Emphasizing securing teaching against the face of technological advancements, this study offers a rudimentary analysis of higher education’s influence on AI. First, in terms of revolutionary prospects, the research studied artificial intelligence in higher education and explained how a number of innovations based on artificial intelligence—involving intelligently mentioned systems, personalized instruction phases, and an automatic evaluation framework—enable improved learning outcomes, good quality of advice, and adaptation to the needs of the undergraduate student. This paper also makes an attempt to delve deep into the role of AI in enabling more accessibility and inclusivity in education, especially to learners with different abilities or those who are coming under the purview of underrepresented groups of society. The paper thus re-installs the importance of some serious ethical frameworks and regulative mechanisms, which shall reduce the risks originating during AI implantation in the educational context.